Formal Concept Analysis

Formal Concept Analysis is a mathematical framework for data analysis and knowledge representation that identifies conceptual structures through the derivation of formal concepts from a context of objects and attributes, distinguished by its reliance on lattice theory and order-theoretic principles to organize hierarchies of concepts.

800

Publications

32.9K

Citations

1.3K

Authors

626

Institutions

Publications per year

2017–2026

172

Authors

1.3K

  1. SO
    Sergei O. Kuznetsov

    National Research University Higher School of Economics, Russia

    22 publications · 2K citations

    17

    h-index

  2. JM
    Jesús Medina

    Universidad de Cádiz, Spain

    21 publications · 1.1K citations

    16

    h-index

  3. LW
    Ling Wei

    Northwest University, China

    17 publications · 1K citations

    16

    h-index

  4. RB
    Radim Bělohlávek

    Palacký University Olomouc, Czechia

    21 publications · 1.3K citations

    16

    h-index

  5. AN
    Amedeo Napoli

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    19 publications · 768 citations

    14

    h-index

1–5 of 1.3K

Venues

  1. Information Sciences

    32 publications · 1.6K citations

    22

    h-index

  2. Knowledge-Based Systems

    22 publications · 1.4K citations

    19

    h-index

  3. International Journal of General Systems

    15 publications · 534 citations

    14

    h-index

  4. International Journal of Approximate Reasoning

    16 publications · 1K citations

    14

    h-index

  5. Fuzzy Sets and Systems

    12 publications · 709 citations

    12

    h-index

1–5